Data Analyst/Data Scientist
1 week ago
• Provide consultative business analysis expertise to plan and assist in the implementation of a data and analytics program within the organization.
• Consult with stakeholders regarding the accuracy of data and the efficiency of the data acquisition/extraction process by having a sound knowledge of data sources.
• Undertake data extraction using multiple databases for the purpose of dynamically reporting results to end users.
• Develop data aggregation workflows, visualizations and insights using Alteryx and Tableau.
• Create ad-hoc executive reports and scorecards using Business Intelligence tools (Tableau, Alteryx) and data extrapolated from multiple source systems.
• Work with Senior Management to implement a robust reporting and data governance framework.
• Participate in collaborative business analysis activities with a variety of stakeholders to gather required analytics, reporting and dashboard requirements.
• Educate the team about data analysis and governance issues to improve understanding.
Education and Experience
• Bachelor's degree in Computer Science, Mathematics or similar analytical field (Major in Accounting and/or Finance will be highly regarded).
• Minimum of 3 years of hands-on experience in data analysis & BI technologies (including some practical experience using Alteryx).
• Three or more years of experience in developing reports in Tableau.
• Experience working with relational databases including SQL querying language.
• Have thorough understanding of Tableau architecture, design, development and end user experience.
• Understanding of Salesforce database structures is beneficial.
Technical Skills
• Relational database knowledge (relational model(s), star schema, keys, common terminology).
• Advanced-level skills with Microsoft Office Suite with emphasis on Excel (pivot tables, v-lookup, visual basic commands).
• Knowledge of SQL querying language.
• Ability to effectively prioritize and execute specific tasks associated with data acquisition/profiling.
• Ability to construct process flow charts and diagrams relating to data ETL processes.
• Working knowledge of self-service analytic/ETL tools and data visualization tools, specifically Alteryx Designer and Tableau.
• Ability to follow detailed procedures and ensure accuracy in data by incorporating thorough documentation processes.
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